Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
Design of Deep Learning Algorithm for IoT Application by Image based Recognition
Volume-3 | Issue-3
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Health Record Management System – A Web-based Application
Volume-3 | Issue-4
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Secure Data Sharing Platform for Portable Social Networks with Power Saving Operation
Volume-3 | Issue-3
Review of Internet of Wearable Things and Healthcare based Computational Devices
Volume-3 | Issue-3
Stock Index Prediction with Financial News Sentiments and Technical Indicators
Volume-4 | Issue-3
Hybrid Framework on Automatic Detection and Recognition of Traffic Display board Signs
Volume-3 | Issue-3
Suspicious Human Activity Detection System
Volume-2 | Issue-4
ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY
Volume-1 | Issue-3
EFFICIENT RESOURCE ALLOCATION AND QOS ENHANCEMENTS OF IOT WITH FOG NETWORK
Volume-1 | Issue-2
Live Streaming Architectures for Video Data - A Review
Volume-2 | Issue-4
IoT Based Monitoring and Control System using Sensors
Volume-3 | Issue-2
Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications
Volume-3 | Issue-3
A Novel Signal Processing Based Driver Drowsiness Detection System
Volume-3 | Issue-3
IoT BASED AIR AND SOUND POLLUTION MONITIORING SYSTEM USING MACHINE LEARNING ALGORITHMS
Volume-2 | Issue-1
Analysis of Serverless Computing Techniques in Cloud Software Framework
Volume-3 | Issue-3
Hybrid Intrusion Detection System for Internet of Things (IoT)
Volume-2 | Issue-4
Volume - 6 | Issue - 1 | march 2024
Published
26 February, 2024
Swimming is a popular sport as it is a pleasant recreational hobby. Aside from its physical benefits, it also relieves stress and gives a sense of peace. So, it is highly preferred by children’s, adults, and sometimes even elderly people. Many countries have made swimming and other life skills compulsory activities in school to avoid fatalities in the event of disaster. While swimming has many advantages, safety precautions are paramount to avoid unintentional deaths. While various drowning prevention systems and technologies have been developed, many of them lack accuracy in detecting drowning incidents and fail to provide an effective rescue mechanism for swimmers in distress. To develop a smart anti-drowning and alert system, this study presents a comprehensive survey of existing drowning systems and suggests a proposed model in response to the identified gaps and challenges in current systems. The suggested framework includes Arduino microcontrollers, voice recognition technology, ultrasonic sensors, and alert generators. The proposed approach not only addresses the constraints of existing systems, but it also provides a cost-effective and scalable solution that can be used in a variety of water environments, including pools and natural bodies of water. The suggested system has the potential to reduce reaction times in emergency circumstances, adding to the overall enhancement of water safety. Future research could focus on practical implementation, testing, and improvement of the proposed model to improve its usefulness in reducing drowning accidents.
KeywordsDrowning Prevention IoT System Swimmer Safety Detection Systems
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